Instructions to use prajwalJumde/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="prajwalJumde/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("prajwalJumde/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("prajwalJumde/roberta-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67ff70594ecd8e9304ae8bb04d86f7f7d0d22b54b79bc2101f0f0b37cc3b1b04
- Size of remote file:
- 496 MB
- SHA256:
- c45cb8dbc727cc46b76290854474fef6f2dcb3da5ad92826070fce1c19775750
路
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